Job Title: Junior Machine Learning Research Engineer

Salary: £40,000-£52,000

Location: Cambridge - Triangle/Hybrid (2 days per week in the office)

Contract: Full Time/Permanent (35 hours per week)

Shape the future of AI-powered learning solutions with Cambridge University Press & Assessment.

This is an exciting opportunity for two Junior Machine Learning Research Engineers to join our innovative Applied AI team. You'll contribute to developing, deploying, and maintaining cutting-edge AI capabilities that drive the success of Cambridge English's products and services.

We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organization and a proud part of the University of Cambridge.

About the Role
As a Junior Machine Learning Research Engineer, you will play a pivotal role in driving innovation and advancing AI-powered solutions that enhance Cambridge English products. Your expertise will contribute to the continuous improvement of existing models and the development of cutting-edge technologies that address future business needs.
Key Responsibilities:

• Help develop, deploy, and maintain scalable AI-powered solutions for Cambridge English products.
• Optimize and modularize models for reusability and performance.
• Collaborate with product, validation, and business teams to transform capabilities into impactful product features.
• Stay at the forefront of AI and machine learning trends to position Cambridge as a leader in AI-driven assessment and learning.
• Plan, prioritize, and manage own tasks aligned with business objectives.

• First class Bachelor's or Master's degree (or equivalent qualifications and experience) in machine learning or AI/computer science with a substantial machine learning component.
• Excellent programming skills in languages such as Python and shell scripting with a strong focus on code optimization, modular design, and efficiency.
• Demonstrable experience in developing, training, and deploying models using frameworks like PyTorch and TensorFlow.
• Strong understanding of data analysis, model evaluation, and error analysis to drive continuous model improvement.
• Excellent communication skills.
• Demonstrable commitment to continuous learning, staying current with state-of-the-art research and applying emerging AI techniques

• Proven ability to collaborate effectively in Agile/Scrum teams and contribute to cross-functional projects.Industry experience in applying ML to real-world problems.
• Experience applying machine learning to educational assessment and learning solutions.
• Hands-on experience with Large Language Models (LLMs) or foundation models, including fine-tuning and adapting models for specific, production-level applications.
• Knowledge of software DevOps practices, including experience with CI/CD pipelines, containerization (e.g., Docker, Kubernetes), and cloud deployment on platforms like AWS.
• PhD (or equivalent qualifications and experience) in machine learning or AI/computer science
• Exposure to research-oriented work or contributions to open-source projects in the AI domain.
• Internship experience in AI/ML
• Experience in contributing to patents, or academic papers related to ML.

• 28 days annual leave plus bank holidays
• Private medical and Permanent Health Insurance
• Discretionary annual bonus
• Group personal pension scheme
• Life assurance up to 4 x annual salary
• Green travel schemes